from openai import OpenAI
import gradio as gr
import os
from dotenv import load_dotenv  

# Load environment variables from .env file
load_dotenv()
# Access the API key using the variable name defined in the .env file

api_key = os.getenv("OPENAI_API_KEY")

client = OpenAI(api_key=api_key)

def predict(message, history):
    history_openai_format = []
    for human, assistant in history:
        history_openai_format.append({"role": "user", "content": human })
        history_openai_format.append({"role": "assistant", "content":assistant})
    history_openai_format.append({"role": "user", "content": message})
  
    response = client.chat.completions.create(model='gpt-4-turbo',
    messages= history_openai_format,
    temperature=1.0,
    stream=True)

    partial_message = ""
    for chunk in response:
        if chunk.choices[0].delta.content is not None:
              partial_message = partial_message + chunk.choices[0].delta.content
              yield partial_message

gr.ChatInterface(predict).launch(share=True)